Position: Platform Engineer - AI/ML InfrastructureAbout the Role:Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform. Youll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.What Youll Do- Deploy and manage LlamaIndex Cloud and KDB.AI applications and similar products supporting AI workloads across Dev/QA/Prod environments- Implement GitOps workflows using Flux CD for automated deployments- Administer Kubernetes clusters across multiple environments- Configure HashiCorp Vault for secrets management and ExternalSecrets integration- Maintain CI/CD pipelines with GitHub Actions and Artifactory- Work with enterprise Identity Management team to configure OIDC authentication with Microsoft Entra ID- Create and maintain Helm charts and Kubernetes manifests- Monitor application performance and troubleshoot production issues- Document procedures, runbooks, and infrastructure patterns Required SkillsCore Technologies:- 3+ years managing production Kubernetes clusters- 2+ years with Flux CD, ArgoCD, or similar GitOps tools- Advanced Helm chart development and management- HashiCorp Vault for secrets management- Artifactory or similar container registries- CI/CD with GitHub Actions, Jenkins, or similarInfrastructure & Database:- PostgreSQL, MongoDB, Redis, RabbitMQ administration- Database HA/failover configurations (PgBouncer, HAProxy)- Linux/Unix systems and shell scripting (Bash, PowerShell)- Kubernetes networking, Ingress, and Gateway APINice to Have:- Experience with LlamaIndex, LangChain, or AI/ML platforms- Vector databases or KDB.AI knowledge- Temporal.io workflow orchestration- Python/Go for automation